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Maysam Abbod
Maysam Abbod
Verified email at brunel.ac.uk
Title
Cited by
Cited by
Year
Survey of utilisation of fuzzy technology in medicine and healthcare
MF Abbod, DG von Keyserlingk, DA Linkens, M Mahfouf
Fuzzy Sets and Systems 120 (2), 331-349, 2001
3292001
Classifiers consensus system approach for credit scoring
M Ala'raj, MF Abbod
Knowledge-Based Systems 104, 89-105, 2016
2602016
Promoter hypermethylation identifies progression risk in bladder cancer
DR Yates, I Rehman, MF Abbod, M Meuth, SS Cross, DA Linkens, ...
Clinical Cancer Research 13 (7), 2046-2053, 2007
2242007
A survey of fuzzy logic monitoring and control utilisation in medicine
M Mahfouf, MF Abbod, DA Linkens
Artificial intelligence in medicine 21 (1-3), 27-42, 2001
2222001
A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems
SD Al-Majidi, MF Abbod, HS Al-Raweshidy
International Journal of Hydrogen Energy 43 (31), 14158-14171, 2018
2002018
A new hybrid ensemble credit scoring model based on classifiers consensus system approach
M Ala'raj, MF Abbod
Expert systems with applications 64, 36-55, 2016
1852016
Artificial immune systems-models, algorithms and applications
JR Al-Enezi, MF Abbod, S Alsharhan
Academic Research Publishing Agency, 2010
1532010
Multiresolution analysis using wavelet, ridgelet, and curvelet transforms for medical image segmentation
S AlZubi, N Islam, M Abbod
Journal of Biomedical Imaging 2011, 1-18, 2011
1512011
Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks
JWF Catto, DA Linkens, MF Abbod, M Chen, JL Burton, KM Feeley, ...
Clinical Cancer Research 9 (11), 4172-4177, 2003
1512003
Application of artificial intelligence to the management of urological cancer
MF Abbod, JWF Catto, DA Linkens, FC Hamdy
The Journal of urology 178 (4), 1150-1156, 2007
1392007
Fuzzy logic-based anti-sway control design for overhead cranes
M Mahfouf, CH Kee, MF Abbod, DA Linkens
Neural Computing & Applications 9, 38-43, 2000
1292000
ECG arrhythmia classification by using a recurrence plot and convolutional neural network
BM Mathunjwa, YT Lin, CH Lin, MF Abbod, JS Shieh
Biomedical Signal Processing and Control 64, 102262, 2021
1262021
Pain and stress detection using wearable sensors and devices—A review
J Chen, M Abbod, JS Shieh
Sensors 21 (4), 1030, 2021
1182021
The impact of the quality of financial reporting on non-financial business performance and the role of organizations demographic'attributes (type, size and experience)
AH Al-Dmour, M Abbod, NS Al-Balqa
1122018
Defect detection in printed circuit boards using you-only-look-once convolutional neural networks
VA Adibhatla, HC Chih, CC Hsu, J Cheng, MF Abbod, JS Shieh
Electronics 9 (9), 1547, 2020
1082020
Application of multivariate empirical mode decomposition and sample entropy in EEG signals via artificial neural networks for interpreting depth of anesthesia
JR Huang, SZ Fan, MF Abbod, KK Jen, JF Wu, JS Shieh
Entropy 15 (9), 3325-3339, 2013
822013
MANET routing protocols taxonomy
NH Saeed, MF Abbod, HS Al-Raweshidy
2012 International Conference on Future Communication Networks, 123-128, 2012
772012
A particle swarm optimisation-trained feedforward neural network for predicting the maximum power point of a photovoltaic array
SD Al-Majidi, MF Abbod, HS Al-Raweshidy
Engineering Applications of Artificial Intelligence 92, 103688, 2020
742020
Sample entropy analysis of EEG signals via artificial neural networks to model patients’ consciousness level based on anesthesiologists experience
GJA Jiang, SZ Fan, MF Abbod, HH Huang, JY Lan, FF Tsai, HC Chang, ...
BioMed research international 2015, 2015
742015
Analysis of EEG via multivariate empirical mode decomposition for depth of anesthesia based on sample entropy
Q Wei, Q Liu, SZ Fan, CW Lu, TY Lin, MF Abbod, JS Shieh
Entropy 15 (9), 3458-3470, 2013
682013
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